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DBMS > Amazon SimpleDB vs. DataFS vs. Ehcache vs. Lovefield vs. RDF4J

System Properties Comparison Amazon SimpleDB vs. DataFS vs. Ehcache vs. Lovefield vs. RDF4J

Editorial information provided by DB-Engines
NameAmazon SimpleDB  Xexclude from comparisonDataFS  Xexclude from comparisonEhcache  Xexclude from comparisonLovefield  Xexclude from comparisonRDF4J infoformerly known as Sesame  Xexclude from comparison
DescriptionHosted simple database service by Amazon, with the data stored in the Amazon Cloud. infoThere is an unrelated product called SimpleDB developed by Edward ScioreAll data is stored inside objects which are linked by so-called link attributes. Objects consist of classes which can be extended and de-extended at runtime. Graphs can be defined with a struct.A widely adopted Java cache with tiered storage optionsEmbeddable relational database for web apps written in pure JavaScriptRDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.
Primary database modelKey-value storeObject oriented DBMSKey-value storeRelational DBMSRDF store
Secondary database modelsGraph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.88
Rank#133  Overall
#23  Key-value stores
Score0.09
Rank#360  Overall
#17  Object oriented DBMS
Score4.64
Rank#68  Overall
#8  Key-value stores
Score0.33
Rank#286  Overall
#131  Relational DBMS
Score0.74
Rank#222  Overall
#9  RDF stores
Websiteaws.amazon.com/­simpledbnewdatabase.comwww.ehcache.orggoogle.github.io/­lovefieldrdf4j.org
Technical documentationdocs.aws.amazon.com/­simpledbdev.mobiland.com/­Overview.xspwww.ehcache.org/­documentationgithub.com/­google/­lovefield/­blob/­master/­docs/­spec_index.mdrdf4j.org/­documentation
DeveloperAmazonMobiland AGTerracotta Inc, owned by Software AGGoogleSince 2016 officially forked into an Eclipse project, former developer was Aduna Software.
Initial release20072018200920142004
Current release1.1.263, October 20223.10.0, March 20222.1.12, February 2017
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache Version 2; commercial licenses availableOpen Source infoApache 2.0Open Source infoEclipse Distribution License (EDL), v1.0.
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaScriptJava
Server operating systemshostedWindowsAll OS with a Java VMserver-less, requires a JavaScript environment (browser, Node.js) infotested with Chrome, Firefox, IE, SafariLinux
OS X
Unix
Windows
Data schemeschema-freeClasses, Structs, and Lists are written in proprietary DataTypeDefinitionLanguage (.dtdl) and Objects consisting of those are written in proprietary DataAccessDefinitionLanguage (.dadl)schema-freeyesyes infoRDF Schemas
Typing infopredefined data types such as float or datenoyesyesyesyes
XML support infoSome form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.nonono
Secondary indexesyes infoAll columns are indexed automaticallynonoyesyes
SQL infoSupport of SQLnononoSQL-like query language infovia JavaScript builder patternno
APIs and other access methodsRESTful HTTP API.NET Client API
Proprietary client DLL
WinRT client
JCacheJava API
RIO infoRDF Input/Output
Sail API
SeRQL infoSesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL
Supported programming languages.Net
C
C++
Erlang
Java
PHP
Python
Ruby
Scala
.Net
C
C#
C++
VB.Net
JavaJavaScriptJava
PHP
Python
Server-side scripts infoStored proceduresnononoyes
Triggersnono, except callback-events from server when changes happenedyes infoCache Event ListenersUsing read-only observersyes
Partitioning methods infoMethods for storing different data on different nodesnone infoSharding must be implemented in the applicationProprietary Sharding systemSharding infoby using Terracotta Servernonenone
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes infoby using Terracotta Servernonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency infocan be specified for read operations
Immediate ConsistencyTunable Consistency (Strong, Eventual, Weak)
Foreign keys infoReferential integritynoyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoConcurrent data updates can be detected by the applicationACIDyes infosupports JTA and can work as an XA resourceACIDACID infoIsolation support depends on the API used
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyes infousing a tiered cache-storage approachyes, by using IndexedDB or the cloud service Firebase Realtime Databaseyes infoin-memory storage is supported as well
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes infousing MemoryDB
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)Windows-Profilenonono

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More resources
Amazon SimpleDBDataFSEhcacheLovefieldRDF4J infoformerly known as Sesame
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